Skip to content

A practical approach to using Data Science for real-world tasks associated with processing and analyzing health care data. This immediately useful workshop starts by building a solid foundation of Data Science essentials so that participants will learn how to design a successful Data Science solution properly from day one. The workshop will then…

Notifications You must be signed in to change notification settings

drmingle/Boston-Data-Festival-2015

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

61 Commits
 
 
 
 
 
 

Repository files navigation

Boston-Data-Festival-2015

A practical approach to using Data Science for real-world tasks associated with processing and analyzing health care data. This immediately useful workshop starts by building a solid foundation of Data Science essentials so that participants will learn how to design a successful Data Science solution properly from day one. The workshop will then present several real-world case studies that offer a step-by-step process for moving Data Science from theory to implementation to practice in a real healthcare setting. The workshop is appropriate for novice to experienced analysts and data scientists interested in healthcare.

GitHub sometimes doesn't like Jupyter Notebooks haing JavaScript, Custom CSS, or HTML embedded. If you are not able to view the workbooks before donwloading. You can always use http://nbviewer.ipython.org/:

Below are the direct links to the exercises:

[Exercise 1] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.1%20-%20Data%20Science%20with%20Jupyter.ipynb)

[Exercise 2] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.2%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 3] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.3%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 4] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.4%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 5] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.5%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 6] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.6%20-%20Data%20Science%20with%20Jupyter.ipynb)

Binder

About

A practical approach to using Data Science for real-world tasks associated with processing and analyzing health care data. This immediately useful workshop starts by building a solid foundation of Data Science essentials so that participants will learn how to design a successful Data Science solution properly from day one. The workshop will then…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published